CN106454039A - A sit-and-reach detector based on an internet of things and machine vision - Google Patents
A sit-and-reach detector based on an internet of things and machine vision Download PDFInfo
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- CN106454039A CN106454039A CN201610915452.1A CN201610915452A CN106454039A CN 106454039 A CN106454039 A CN 106454039A CN 201610915452 A CN201610915452 A CN 201610915452A CN 106454039 A CN106454039 A CN 106454039A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/50—Constructional details
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1116—Determining posture transitions
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
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Abstract
The invention discloses a sit-and-reach detector based on an internet of things and machine vision. The detector comprises a detector body. The detector body is provided with an embedded controller, a camera, a shooting button, a ZigBee module, a Wi-Fi module, a display screen, a rechargeable power supply and a power supply switch. The camera is used for shooting sit-and-reach postures of a subject to obtain detection images; the embedded controller is used for receiving the detection images and carrying out data processing to obtain angle between an upper body and a lower body of the subject and flexibility evaluation, and outputting the results to the display screen; the shooting button is used for controlling the camera to shoot the images; the ZigBee module is used for realizing internet-of-thing communication between the detector and an upper computer as well as between the detector and other detectors to realize wireless upload of the detected data; and the Wi-Fi module is used for realizing connection between the detector and the internet. By detecting the angle formed between the upper body and the lower body of the subject during sit-and-reach, body flexibility is reflected accurately; and an effect of wireless transmission of the detected data is realized based on the internet of things.
Description
Technical field
The invention belongs to body field tests, more particularly to a kind of for body constitution test based on Internet of Things and machine
The sitting body anteflexion detector of vision.
Background technology
Pliability is an important indicator of body constitution power, and sitting body anteflexion is《National student physical health standard》
The project of middle requirement, purpose is exactly the body pliability for testing student.Mechanical type sitting body anteflexion tester is mainly adopted at present
The flexible detection of body is carried out, the degree of upper body bending is tested, evaluation index is the accessible ultimate range of finger extension.This
Kind of method of testing be with picked when finger extension distance replaces the angle of joint motion, this metering system exists serious scarce
Fall into, because limbs length is different can produce a very large impact to the distance of finger extension, increase measurement error, reduce the effect of detection
Degree.There are some researches show, if it is possible to which the activity point of view to body joint of having ready conditions is measured, limbs length can be just overcome to surveying
The impact of dose-effect degree, improves the accuracy of body pliability test.On the other hand, mechanical type sitting body anteflexion tester is detected
Data manually need to be recorded, and be manually entered correlation computations machine management system, less efficient, and easily malfunction.
Content of the invention
In view of the above problems, it is an object of the invention to provide institute's angulation between upper body and lower body during a kind of sitting body anteflexion
The measurement of degree, so as to accurately reflect human body pliability, and based on Internet of Things realize detection data be wirelessly transferred based on Internet of Things
The sitting body anteflexion detection of net and machine vision.
For achieving the above object, a kind of sitting body anteflexion based on Internet of Things and machine vision that the present invention is provided is detected
Instrument, including body, the body be provided with photographic head that embedded controller is connected with the data input pin of embedded controller,
The shooting button being connected with the data input pin of embedded controller is connected with the data output end of embedded controller
Wi-Fi module and the data output of embedded controller that ZigBee module is connected with the data output end of embedded controller
Rechargable power supplies and be arranged on embedded control that the display screen of end connection is connected with the data input pin of embedded controller
For controlling the on and off switch of on/off between device processed and rechargable power supplies；The photographic head is used for shooting the seat of measured
Trunk bending forwards posture, obtains detection image；The embedded controller is used for receiving detection image, and carries out data processing to image
Angulation and pliability evaluation between measured upper body and lower body is obtained, and is exported to display screen；Described shooting button
It is used for controlling photographic head shooting image；The ZigBee module is used for realizing detector with host computer, detector and other detections
Internet of Things Network Communication between instrument, realizes the wireless upload of detection data；The Wi-Fi module is used for realizing detector and the Internet
Connection.
Preferably, the shooting button is short by for realizing captured in real-time, long by for time-lapse shooting.
Preferably, the photographic head shoots includes following two situations：
(1) collaborationist assists to shoot：Measured be sitting in in detector same level, and the spacing of detector photographic head
From for 1 meter, the knee side of measured is just to detector photographic head, and collaborationist is short to be completed to shoot by shooting button；
(2) measured oneself complete independently shoots：Measured's length presses shooting button time-lapse shooting, in time-lapse shooting time model
In enclosing, measured will be moved to the position that distance and detector same level and detector photographic head between is 1 meter, tested
The knee side of person is just to detector photographic head, and at the end of shooting delay time, photographic head is automatically performed shooting.
Preferably, the embedded controller is used for receiving detection image, and image is carried out data processing obtain tested
Angulation between person upper body and lower body, specific as follows：Embedded controller is with the shoulder of measured, crotch, ankle in image
Portion is characterized a little, calculates angulation between measured upper body and lower body.
Preferably, the embedded controller is used for receiving detection image, and image is carried out data processing obtain flexible
Property evaluate, specific as follows：
Pliability is scored with 0 to 100 points, and 0 is divided into minimum point, and 100 are divided into best result, presses following public affairs according to institute measuring angle β
Formula calculates pliability score：
Male：
Women：
Compared with prior art, beneficial effects of the present invention are as follows：
The present invention replaces traditional mechanical type scale test using vision-based detection, can effectively improve sitting body anteflexion test
Accuracy, and test result can be recorded automatically, using technology of Internet of things, facilitate test data to upload and manage, realize seat body
When anteflexion between upper body and lower body angulation measurement, so as to accurately reflect human body pliability, and inspection is realized based on Internet of Things
Survey being wirelessly transferred for data.
Description of the drawings
Fig. 1 is a kind of structural representation of the sitting body anteflexion detector based on Internet of Things and machine vision of the present invention.
Fig. 2 is a kind of theory diagram of the sitting body anteflexion detector based on Internet of Things and machine vision of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawings invention is described in further detail.
As shown in Fig. 1～2, a kind of sitting body anteflexion detector based on Internet of Things and machine vision, including body 1, machine
Body 1 is provided with photographic head 3 and the embedded controller 2 that embedded controller 2 is connected with the data input pin of embedded controller 2
Data input pin connection the ZigBee module 5 that is connected with the data output end of embedded controller 2 of shooting button 4 with embedding
Enter the display that the Wi-Fi module 6 of the data output end connection of formula controller 2 is connected with the data output end of embedded controller 2
7 rechargable power supplies 8 that are connected with the data input pin of embedded controller 2 of screen and be arranged on embedded controller 2 with can
For controlling the on and off switch 9 of on/off between charge power supply 8.
Rechargable power supplies 8 are provided with charge port 10.
Photographic head 3 is used for shooting the sitting body anteflexion posture of measured, obtains detection image.
Embedded controller is the master controller of system, with work(such as logic control, storage, input and output, image procossing
Energy.Embedded controller is used for receiving detection image, and carries out data processing to image and obtain between measured upper body and lower body
Angulation and pliability evaluation, and export to display screen.
Display screen is used for showing the angle of surveyed sitting body anteflexion, and the body of measured reflected by institute's measuring angle
Body pliability.
Shooting button is used for controlling photographic head shooting image.Shooting button is short by for realizing captured in real-time, long by being used for
Time-lapse shooting.
ZigBee module is used for realizing the Internet of Things Network Communication between detector and host computer, detector and other detectors,
Realize the wireless upload of detection data.Host computer is the data management apparatus with ZigBee module.
Wi-Fi module is used for realizing the connection of detector and the Internet, is easy to data network.
Rechargable power supplies make to connect electric wire during detector work, realize the portable operation of detector.
Break-make between on and off switch control rechargable power supplies and embedded controller.
During application, the present invention replaces traditional mechanical type scale test, can effectively improve the accurate of sitting body anteflexion test
Degree, and test result can be recorded automatically, using technology of Internet of things, facilitate test data to upload and manage.
The specific workflow of the present invention is as follows：
1) detector is placed on a horizontal plane.
2) on and off switch 9 is pressed, connects detector power supply.
3) there are two kinds of situations when shooting：The first situation is that have collaborationist to assist to shoot, and measured is sitting in same with detector
On one horizontal plane, distance is just to detector 1 meter, with knee side and detector between, executes sitting body anteflexion test, assists
Person is short to be completed to shoot by shooting button；Second situation is that measured oneself complete independently shoots, and measured's length presses shooting button 2
Second, 5 second beats of photographic head time delay is taken the photograph, and within this 5 seconds, measured will be moved to and detector same level, the position of 1 meter of distance,
With knee side just to detector, sitting body anteflexion action is executed, at the end for the treatment of 5 seconds, photographic head is automatically performed shooting.
Here the length of shooting button temporally should not be considered as limitation of the invention with delay time.Can be according to reality
Border service condition is limited, or the button performance for being obtained by buying determines.
4) embedded controller 2 obtains the image that photographs of photographic head 3, and image is processed, execute feature extraction and
Matching algorithm, is characterized a little with measured's shoulder, crotch, ankle, calculates angulation between measured upper body and lower body
5) display screen 7 shows institute's measuring angle, and the pliability reflected by institute's measuring angle, and its evaluation methodology is：
Pliability is scored with 0 to 100 points, and 0 is divided into minimum point, and 100 are divided into best result, is calculated according to institute measuring angle β as follows soft
Toughness score：
Male：
Women：
6) data if necessary to collect and statistic mixed-state instrument is surveyed, data can be led to by detector using ZigBee module 5
Cross Internet of Things and host computer is transferred to, host computer is the data management apparatus with ZigBee module 5, transmission path can be single-hop
Transmission, or the multi-hop transmission through other detectors.
7) if necessary to surveyed data being shared and being applied in other networked computer management systems, detector
Using Wi-Fi module 6, data are uploaded to computer, realize the Internet and share.
8), after electric quantity of power supply exhausts, electricity supplement can be carried out by charge port 10.
Above-described is only some embodiments of the present invention.For the person of ordinary skill of the art, not
On the premise of departing from the invention design, some deformation can also be made and improved, these belong to the protection domain of invention.
Claims (5)
1. a kind of sitting body anteflexion detector based on Internet of Things and machine vision, it is characterised in that
Including body, the body be provided with photographic head that embedded controller is connected with the data input pin of embedded controller,
The shooting button being connected with the data input pin of embedded controller is connected with the data output end of embedded controller
Wi-Fi module and the data output of embedded controller that ZigBee module is connected with the data output end of embedded controller
Rechargable power supplies and be arranged on embedded control that the display screen of end connection is connected with the data input pin of embedded controller
For controlling the on and off switch of on/off between device processed and rechargable power supplies；
The photographic head is used for shooting the sitting body anteflexion posture of measured, obtains detection image；
The embedded controller is used for receiving detection image, and carries out data processing to image and obtain measured upper body and lower body
Between angulation and pliability evaluation, and export to display screen；
Described shooting button is used for controlling photographic head shooting image；
The ZigBee module is used for realizing the Internet of Things Network Communication between detector and host computer, detector and other detectors,
Realize the wireless upload of detection data；
The Wi-Fi module is used for realizing the connection of detector and the Internet.
2. a kind of sitting body anteflexion detector based on Internet of Things and machine vision according to claim 1, its feature exists
In the shooting button is short by for realizing captured in real-time, long by for time-lapse shooting.
3. a kind of sitting body anteflexion detector based on Internet of Things and machine vision according to claim 1, its feature exists
In the photographic head shoots includes following two situations：
(1) collaborationist assists to shoot：Measured is sitting in in detector same level, and distance is and detector photographic head between
1 meter, the knee side of measured is just to detector photographic head, and collaborationist is short to be completed to shoot by shooting button；
(2) measured oneself complete independently shoots：Measured's length presses shooting button time-lapse shooting, in time-lapse shooting time range
Interior, measured will be moved to the position that distance and detector same level and detector photographic head between is 1 meter, measured
Knee side just to detector photographic head, at the end of shooting delay time, photographic head is automatically performed shooting.
4. a kind of sitting body anteflexion detector based on Internet of Things and machine vision according to claim 1, its feature exists
It is used for receiving detection image in, the embedded controller, and data processing is carried out to image and obtains measured upper body and lower body
Between angulation, specific as follows：Embedded controller is characterized a little with the shoulder of measured, crotch, ankle in image, meter
Calculate angulation between measured upper body and lower body.
5. a kind of sitting body anteflexion detector based on Internet of Things and machine vision according to claim 4, its feature exists
It is used for receiving detection image in, the embedded controller, and data processing is carried out to image and pliability evaluation is obtained, specifically such as
Under：
Pliability is scored with 0 to 100 points, and 0 is divided into minimum point, and 100 are divided into best result, is counted according to institute measuring angle β as follows
Calculate pliability score：
Male：
Women：
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610915452.1A CN106454039B (en) | 2016-10-20 | 2016-10-20 | Seat body anteflexion detector based on thing networking and machine vision |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610915452.1A CN106454039B (en) | 2016-10-20 | 2016-10-20 | Seat body anteflexion detector based on thing networking and machine vision |
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| CN106454039A true CN106454039A (en) | 2017-02-22 |
| CN106454039B CN106454039B (en) | 2020-01-14 |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108111755A (en) * | 2017-12-20 | 2018-06-01 | 广东技术师范学院 | A kind of recognition methods of picked angle of human body and device |
| CN109211116A (en) * | 2017-06-30 | 2019-01-15 | 深圳泰山体育科技股份有限公司 | The optical calibrating and measurement method of flexibility test |
| CN111012357A (en) * | 2019-12-06 | 2020-04-17 | 西南交通大学 | Seat body forward-bending detection device and method based on image recognition |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008003125A1 (en) * | 2006-07-04 | 2008-01-10 | Alan Wayne Strang | Flexibility assessment apparatus |
| KR101037924B1 (en) * | 2010-12-24 | 2011-05-30 | 대한센서 주식회사 | A seat and reach measuring apparatus |
| CN103099602A (en) * | 2011-11-10 | 2013-05-15 | 深圳泰山在线科技有限公司 | Constitution detecting method and constitution detecting system based on optical identification |
| CN103577686A (en) * | 2013-09-11 | 2014-02-12 | 奥美之路(北京)技术顾问有限公司 | Chinese people health-related fitness evaluation model |
| CN104688233A (en) * | 2015-02-11 | 2015-06-10 | 深圳泰山在线科技有限公司 | Physique test machine |
| CN105608467A (en) * | 2015-12-16 | 2016-05-25 | 西北工业大学 | Kinect-based non-contact type student physical fitness evaluation method |
| CN105769210A (en) * | 2016-05-09 | 2016-07-20 | 中科院合肥技术创新工程院 | Wearable home body posture detection Internet of Things terminal |
-
2016
- 2016-10-20 CN CN201610915452.1A patent/CN106454039B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008003125A1 (en) * | 2006-07-04 | 2008-01-10 | Alan Wayne Strang | Flexibility assessment apparatus |
| KR101037924B1 (en) * | 2010-12-24 | 2011-05-30 | 대한센서 주식회사 | A seat and reach measuring apparatus |
| CN103099602A (en) * | 2011-11-10 | 2013-05-15 | 深圳泰山在线科技有限公司 | Constitution detecting method and constitution detecting system based on optical identification |
| CN103577686A (en) * | 2013-09-11 | 2014-02-12 | 奥美之路(北京)技术顾问有限公司 | Chinese people health-related fitness evaluation model |
| CN104688233A (en) * | 2015-02-11 | 2015-06-10 | 深圳泰山在线科技有限公司 | Physique test machine |
| CN105608467A (en) * | 2015-12-16 | 2016-05-25 | 西北工业大学 | Kinect-based non-contact type student physical fitness evaluation method |
| CN105769210A (en) * | 2016-05-09 | 2016-07-20 | 中科院合肥技术创新工程院 | Wearable home body posture detection Internet of Things terminal |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109211116A (en) * | 2017-06-30 | 2019-01-15 | 深圳泰山体育科技股份有限公司 | The optical calibrating and measurement method of flexibility test |
| CN108111755A (en) * | 2017-12-20 | 2018-06-01 | 广东技术师范学院 | A kind of recognition methods of picked angle of human body and device |
| CN111012357A (en) * | 2019-12-06 | 2020-04-17 | 西南交通大学 | Seat body forward-bending detection device and method based on image recognition |
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| CN106454039B (en) | 2020-01-14 |
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